News

Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning
31 Aug 2023
In many real-world problems, the learning agent needs to learn a problem’s abstractions and solution simultaneously. However, most such abstractions need to be designed and refined by hand for different problems and domains of application.

Dealing with expert bias in collective decision-making
12 Jul 2023
Quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives.

Dealing with expert bias in collective decision-making
02 May 2023
In their paper published in the AI journal, CHAI Tom Lenaerts and Axel Abels argue that quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives.

Keynote at The Value Connection workshop
11 Apr 2023
On the 1st of April, CHAI’s Brian Christian gave an opening keynote address at “The Value Connection Workshop” in Amsterdam, an interdisciplinary workshop on human values, hosted by TU Delft and sponsored by the Royal Netherlands Academy of Arts and Sciences and the Delft Design for Values Institute.